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Persisting workarounds in Electronic Health Record System use: types, risks and benefits

Overview of attention for article published in BMC Medical Informatics and Decision Making, June 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
62 Mendeley
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Title
Persisting workarounds in Electronic Health Record System use: types, risks and benefits
Published in
BMC Medical Informatics and Decision Making, June 2021
DOI 10.1186/s12911-021-01548-0
Pubmed ID
Authors

Albert Boonstra, Tess L. Jonker, Marjolein A. G. van Offenbeek, Janita F. J. Vos

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 15%
Lecturer 5 8%
Other 4 6%
Unspecified 3 5%
Student > Master 3 5%
Other 11 18%
Unknown 27 44%
Readers by discipline Count As %
Business, Management and Accounting 12 19%
Nursing and Health Professions 4 6%
Medicine and Dentistry 4 6%
Unspecified 3 5%
Social Sciences 3 5%
Other 6 10%
Unknown 30 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 December 2022.
All research outputs
#13,681,114
of 23,323,574 outputs
Outputs from BMC Medical Informatics and Decision Making
#996
of 2,025 outputs
Outputs of similar age
#201,099
of 447,327 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#31
of 64 outputs
Altmetric has tracked 23,323,574 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,025 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 50% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 447,327 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.